Browse 12,955 Workflows

By Paul

🚀 Google Search Console MCP Server 📋 Description This n8n workflow serves as a Model Context Protocol (MCP) server, connecting MCP-compatible AI tools (like Claude) directly to the Google Search Console APIs. With this workflow, users can automate critical SEO tasks and manage Google Search Console data effortlessly via MCP endpoints. Included Functionalities: 📌 List Verified Sites 📌 Retrieve Detailed Site Information 📌 Access Search Analytics Data 📌 Submit and Manage Sitemaps 📌 Request URL Indexing OAuth2 is fully supported for secure and seamless API interactions. 🛠️ Setup Instructions 🔑 Prerequisites n8n instance** (cloud or self-hosted) Google Cloud project with enabled APIs: Google Search Console API Web Search Indexing API OAuth2 Credentials from Google Cloud ⚙️ Workflow Setup Step 1: Import Workflow Open n8n, select "Import from JSON", and paste this workflow JSON. Step 2: Configure OAuth2 Credentials Navigate to Settings → Credentials. Add new credentials (Google OAuth2 API): Client ID and Client Secret from Google Cloud Scopes: https://www.googleapis.com/auth/webmasters.readonly https://www.googleapis.com/auth/webmasters https://www.googleapis.com/auth/indexing Step 3: Configure Webhooks Webhook URLs auto-generate in MCP Server Trigger node. Ensure webhooks are publicly accessible via HTTPS. Step 4: Testing Test your endpoints with sample HTTP requests to confirm everything is working correctly. 🎯 Usage Examples List Sites**: Fetch all verified Search Console sites. Get Site Info**: Get detailed information about a particular site. Search Analytics**: Pull metrics such as clicks, impressions, and rankings. Submit Sitemap**: Automatically submit sitemaps. Request URL Indexing**: Trigger Google's indexing for specific URLs instantly. 🚩 Use Cases & Applications SEO automation workflows AI-driven SEO analytics Real-time website performance monitoring Automated sitemap management. An n8n automation workflow template by Paul.

By Paul

Workflow Description and Setup Guide This workflow provides comprehensive AI-driven stock analysis, generating detailed deep reports by leveraging advanced vector-based data retrieval and API integrations for precise financial analytics using Danelfin scoring and strategy. Overview This workflow automates stock analysis utilizing: AI-driven scoring and sector insights** (Danelfin configuration) Vector-based data retrieval** (Supabase) Deep analytical reports** Key Components and API Integrations 1. Danelfin AI Stock Analysis API Provides advanced stock scores, rankings, and sector insights. Endpoints:** /ranking: Stock rankings and scores /sectors: Sector information /industries: Industry details 2. Supabase Vector Store Vector embedding storage and quick data retrieval. Workflow Steps Initialization Chat Trigger: Activates when a message requesting stock analysis is received. Stock Analysis and Deep Reporting Main AI Agent: Processes the query, retrieves relevant data from Danelfin, and generates deep analytical reports. Supabase Vector Store: Facilitates efficient data retrieval using embeddings. Reporting Markdown Conversion: Transforms analysis into a readable HTML format. Email Reporting: Sends detailed reports via Gmail. Setup Instructions Prerequisites Obtain API Keys for Supabase and Danelfin. Configuration Steps Set API Keys: Supabase API credentials for vector storage. Danelfin API credentials for stock analysis. Gmail API Credentials: Configure Gmail node for sending reports. Running the Workflow Triggered automatically by chat messages requesting analysis. Reports sent directly via email. This setup ensures precise, AI-driven stock analysis delivered clearly through automated deep reporting. An n8n automation workflow template by Paul.

By Peter Zendzian

This n8n template demonstrates how to automate comprehensive web research using multiple AI models to find, analyze, and extract insights from authoritative sources. Use cases are many: Try automating competitive analysis research, finding latest regulatory guidance from official sources, gathering authoritative content for reports, or conducting market research on industry developments! Good to know Each research query typically costs $0.08-$0.34 depending on the number of sources found and processed. The workflow includes smart filtering to minimize unnecessary API calls. The workflow requires multiple AI services and may need additional setup time compared to simpler templates. Qdrant storage is optional and can be removed without affecting performance. How it works Your research question gets transformed into optimized Google search queries that target authoritative sources while filtering out low-quality sites. Apify's RAG Web Browser scrapes the content and converts pages to clean markdown format. Claude Sonnet 4 evaluates each article for relevance and quality before full processing. Articles that pass the filter get analyzed in parallel - one pipeline creates focused summaries while another extracts specific claims and evidence. GPT-4.1 Mini ranks all findings and presents the top 3 most valuable insights and summaries. All processed content gets stored in your Qdrant vector database to prevent duplicate processing and enable future reference. How to use The manual trigger node is used as an example but feel free to replace this with other triggers such as webhook, form submissions, or scheduled research. You can modify the configuration variables in the Set Node to customize Qdrant URLs, collection names, and quality thresholds for your specific needs. Requirements OpenAI API account for GPT-4.1 Mini (query optimization, summarization, ranking) Anthropic API account for Claude Sonnet 4 (content filtering) Apify account for web scraping capabilities Qdrant vector database instance (local or cloud) Ollama with nomic-embed-text model for embeddings Customizing this workflow Web research automation can be adapted for many specialized use cases. Try focusing on specific domains like legal research (targeting .gov and .edu sites), medical research (PubMed and health authorities), or financial analysis (SEC filings and analyst reports). An n8n automation workflow template by Peter Zendzian.

By Paul

Agent XML System Message Engineering: Enabling Robust Enterprise Integration and Automation Why Creating System Messages in XML Is Important XML (Extensible Markup Language) engineering is a foundational technique in modern software and system architecture. It enables the structured creation, storage, and exchange of messages—such as system instructions, configuration, or logs—by providing a human-readable, platform-independent, and machine-processable format. Here’s why this matters and how big tech companies leverage it: Importance of XML in Engineering Standardization & Interoperability:** XML provides a consistent way to model and exchange data between different software components, no matter the underlying technology. This enables seamless integration of diverse systems, both internally within companies and externally across partners or clients. Traceability & Accountability:** By capturing not only the data but also its context (e.g., source, format, transformation steps), XML enables engineers to trace logic, troubleshoot issues, and ensure regulatory compliance. This is particularly crucial in sectors like finance, healthcare, and engineering where audit trails and documentation are mandatory. Configuration & Flexibility:** XML files are widely used for application settings. The clear hierarchical structure allows easy updates, quick testing of setups, and management of complex configurations—without deep developer intervention. Reusability & Automation:** Automating the creation of system messages or logs in XML allows organizations to reuse and adapt those messages for various systems or processes, reducing manual effort, errors, and improving scalability. How Big Tech Companies Use XML System Integration and Messaging:** Large enterprises including Amazon, Google, Microsoft, and SAP use XML for encoding, transporting, and processing data between distributed systems via web services (such as SOAP and REST APIs), often at web scale. Business Process Automation:** In supply chain management, e-commerce, and transactional processing, XML enables rapid, secure, and traceable information exchange—helping automate operations that cross organizational and geographical borders. Content Management & Transformation:** Companies use XML to manage and deliver dynamic content—such as translations, different document layouts, or multi-channel publishing—by separating data from its presentation and enabling real-time transformations through XSLT or similar technologies. Data Storage, Validation, and Big Data:** XML’s schema definitions (XSD) and well-defined structure are used by enterprises for validating and storing data models, supporting compatibility and quality across complex systems, including big data applications. Why XML System Message Engineering Remains Relevant > “XML is currently the most sophisticated format for distributed data — the World Wide Web can be seen as one huge XML database... Rapid adoption by industry [reinforces] that XML is no longer optional.” It brings consistency, scalability, and reliability to how software communicates, making development faster and systems more robust. Enterprises continue to use XML alongside newer formats (like JSON) wherever rich validation, structured messaging, and backward compatibility with legacy systems are required. In summary: XML engineering empowers organizations, especially tech giants, to build, scale, and manage complex digital ecosystems by facilitating integration, automation, traceability, and standardization of data and messages across their platforms, operations, and partners. An n8n automation workflow template by Paul.

By Matthew

Automated Cold Email Personalization This workflow automates the creation of highly personalized cold outreach emails by extracting lead data, scraping company websites, and leveraging AI to craft unique email components. This is ideal for sales teams, marketers, and business development professionals looking to scale their outreach efforts while maintaining a high degree of personalization. How It Works Generate Batches: The workflow starts by generating a sequence of numbers, defining how many leads to process in batches. Scrape Lead Data: It uses an external API (Apify) to pull comprehensive lead information, including contact details, company data, and social media links. Fetch Client Data: The workflow then retrieves relevant client details from your Google Sheet based on the scraped data. Scrape Company Website: The lead's company website is automatically scraped to gather content for personalization. Summarize Prospect Data: An OpenAI model analyzes both the scraped website content and the individual's profile data to create concise summaries and identify unique angles for outreach. Craft Personalized Email: A more advanced OpenAI model uses these summaries and specific instructions to generate the "icebreaker," "intro," and "value proposition" components of a personalized cold email. Update Google Sheet: Finally, these generated email components are saved back into your Google Sheet, enriching your lead records for future outreach. Google Sheet Structure Your Google Sheet must have the following exact column headers to ensure proper data flow: Email** (unique identifier for each lead) Full Name** Headline** LinkdIn** cityName** stateName** company/cityName** Country** Company Name** Website** company/businessIndustry** Keywords** icebreaker** (will be populated by the workflow) intro** (will be populated by the workflow) value\_prop** (will be populated by the workflow) Setup Instructions Add Credentials: In n8n, add your OpenAI API key via the Credentials menu. Connect your Google account via the Credentials menu for Google Sheets access. You will also need an Apify API key for the Scraper node. Configure Google Sheets Nodes: Select the Client data and Add email data to sheet nodes. For each, choose your Google Sheets credential, select your spreadsheet, and the specific sheet name. Ensure all column mappings are correct according to the "Google Sheet Structure" section above. Configure Apify Scraper Node: Select the Scraper node. Update the Authorization header with your Apify API token (Bearer KEY). In the JSON Body, set the searchUrl to your Apollo link (or equivalent source URL for lead data). Configure OpenAI Nodes: Select both Summarising prospect data and Creating detailed email nodes. Choose your OpenAI credential from the dropdown. In the Creating detailed email node's prompt, replace PUT YOUR COMPANY INFO HERE with your company's context and verify the target sector for the email generation. Verify Update Node: On the final Add email data to sheet node, ensure the Operation is set to Append Or Update and the Matching Columns field is set to Email. Customization Options 💡 Trigger: Change the When clicking 'Execute workflow' node to an automatic trigger, such as a **Cron node for daily runs, or a Google Sheets trigger when new rows are added. Lead Generation: Modify the **Code node to change the number of leads processed per run (currently set to 50). Scraping Logic**: Adjust the Scraper node's parameters (e.g., count) or replace the Apify integration with another data source if needed. AI Prompting: Experiment with the prompts in the **Summarising prospect data and Creating detailed email OpenAI nodes to refine the tone, style, length, or content focus of the generated summaries and emails. AI Models**: Test different OpenAI models (e.g., gpt-3.5-turbo, gpt-4o) in the OpenAI nodes to find the optimal balance between cost, speed, and output quality. Data Source/CRM**: Replace the Google Sheets nodes with integrations for your preferred CRM (e.g., HubSpot, Salesforce) or a database (e.g., PostgreSQL, Airtable) to manage your leads. An n8n automation workflow template by Matthew.

By Matthew

AI-Powered Personalized Email Nurturing This workflow automates sending tailored onboarding and follow-up emails based on lead commitment levels. It's designed for coaches, consultants, and service-based businesses who want to personalize their outreach and nurture prospects more effectively. How It Works Triggered by New Data: The workflow automatically starts whenever a new row is added to your specified Google Sheet. Assess Commitment: An If node checks the "Commitment" score from your Google Sheet data. If the commitment score is 8 or higher, the lead is considered "warm" and receives a detailed onboarding email. If the commitment score is below 8, the lead is considered "colder" and receives a gentle nudge email. Craft Warm Email (for high commitment): For "warm" leads, an OpenAI node generates an aspirational and confident first-touch email. This email highlights their goals, introduces your flagship offers, and invites them to a 30-minute discovery call. Craft Colder Email (for lower commitment): For "colder" leads, a different OpenAI node generates an encouraging, non-pushy follow-up email. This email thanks them for sharing their goals, reinspires them with the ROI of personal branding, asks a reflective question, and offers a no-pressure Q&A session. Send Emails: The appropriate Gmail node sends the personalized email to the lead. Record Activity: Finally, the Google Sheets node appends the lead's information and details of the sent email to a separate "Contacts" sheet, keeping a clear record of all interactions. Google Sheet Structure Your primary Google Sheet (the one triggering the workflow) must have the following exact column headers: Email** First name** Last name** Phone number** Industry** Title** Three goals you wish to achieve this year** 1-10 how commited are you to your goals** Your secondary Google Sheet (for appending contacts) must have these exact column headers: name** email** phone** industry** title** three goals** commitment** Setup Instructions Add Credentials: In n8n, add your OpenAI API key via the Credentials menu. Connect your Google account via the Credentials menu for Google Sheets and Gmail access. Configure Google Sheets Trigger: Select the Google Sheets Trigger node. Choose your Google Sheets credential, select your spreadsheet, and the specific sheet name that contains your incoming lead data. Configure Commitment Logic: Select the Commitment ≥ 8? If node. The condition is set to ={{ $json['1-10 how commited are you to your goals'] }} >= 8. Ensure your Google Sheet column name for commitment matches exactly, including spacing and capitalization. Configure OpenAI Nodes: Select both crafting warmer email and crafting colder email nodes. Choose your OpenAI credential from the dropdown. Crucially: In both nodes' Messages section, replace placeholder information with your actual company name, founder name, and any specific details about your flagship offers and booking links (https://calendly.com/brandied/discovery). Configure Gmail Nodes: Select both Send warmer email and Send colder email nodes. Choose your Gmail credential. Configure Append Row in Sheet: Select the Append row in sheet node. Choose your Google Sheets credential, select the spreadsheet and sheet name where you want to log sent emails (your "Contacts" sheet). Verify that the column mappings correctly align with the "Google Sheet Structure" for your secondary sheet. Customization Options 💡 Commitment Threshold: Adjust the number in the **Commitment ≥ 8? If node to change what constitutes a "warm" lead (e.g., gte 7 for a commitment score of 7 or higher). Email Content & Tone: Modify the prompts in the **crafting warmer email and crafting colder email OpenAI nodes to fine-tune the email tone, length, specific calls to action, or any other elements to better suit your brand voice and strategy. Follow-Up Cadence: Instead of immediate sending, you could introduce a **Wait node after the email crafting to space out follow-ups or integrate with an email sequence tool. CRM Integration: Replace the final **Google Sheets node with an integration to your CRM (e.g., HubSpot, Salesforce) to automatically log these interactions and enrich lead profiles directly within your CRM. An n8n automation workflow template by Matthew.

By Matthew

Automated Personalized Email Icebreakers This workflow automates creating personalized email icebreakers. It reads leads from a Google Sheet, scrapes their company website, uses OpenAI to analyze the data and craft a unique opening line, and then saves that icebreaker back into the original sheet. How It Works Fetch Lead**: The workflow starts, loops through your leads, and pulls one from your Google Sheet. Scrape & Summarize**: It scrapes the lead's company website and uses a fast OpenAI model to summarize the key points about the company and the person. Generate Icebreaker**: This summary is then sent to a more powerful OpenAI model, which follows specific instructions to write a short, personalized icebreaker. Update Sheet**: The new icebreaker is saved back into the correct lead's row in your Google Sheet, using their email to match the record. Requirements An n8n instance. An OpenAI API key with available credits. A Google account with a Sheet for your leads. The Google Sheet must have columns for lead data (e.g., Email, Website, Company Name) and an empty column named icebreaker. The Email column must be unique for each lead. Setup Instructions Add Credentials: In n8n, add your OpenAI API key and connect your Google account via the Credentials menu. Configure Google Sheets Nodes: Select each of the two Google Sheets nodes (Client data and Add icebreaker to sheet). In each, choose your credential, select your spreadsheet and the specific sheet name, and ensure the column mapping is correct. Configure OpenAI Nodes: Select both OpenAI nodes (Summarising prospect data and Creating icebreaker) and choose your OpenAI credential from the dropdown. Verify Update Node: On the final Add icebreaker to sheet node, ensure the Operation is set to Append Or Update and the Matching Columns field is set to Email. Customization Options 💡 Trigger**: Change the manual start to an automatic trigger, like when a new row is added to the sheet or on a daily schedule (Cron). AI Prompt**: Modify the prompt in the "Creating icebreaker" node to change the tone, style, or length of the output. AI Model**: Experiment with different OpenAI models (like gpt-4o) for a different balance of cost, speed, and quality. Data Source**: Replace Google Sheets with a CRM like HubSpot or a database like Postgres. An n8n automation workflow template by Matthew.

By Constantine Kissel

Generate research-backed article with n8n Who’s it for Content marketers, SEO teams, and founders who need fast, research-grounded blog posts or long-form articles—multi-language included. Works well for teams that want citations, outlines, and section-by-section drafting with minimal manual effort. How it works / What it does Use a Form to collects domain, keywords, and target language. The workflow refines keywords, finds recent articles and authoritative citations, then synthesizes a master outline and loops through each section: generate search queries → fetch web results → summarize findings → write the section with the advanced model. Finally, it aggregates all sections into a clean Markdown article. Optional delivery nodes (Email, Telegram) and an AI Agent are included but disabled by default.  How to set up Import the workflow JSON into n8n. Add your OpenAI credential Set simple_model / advanced_model in LLM Params Requirements n8n instance with outbound internet access. OpenAI API access (Responses API + web_search_preview). (Optional) Email/Telegram credentials if you want to deliver results async How to customize the workflow Edit prompts in LLM Params and Section Prompts to match tone, structure, and SEO style Tweak recency and source rules in Search Articles / Search Citations.  Insert a human review step before “Write Section”, enable delivery nodes Change working/output languages in the Language node. An n8n automation workflow template by Constantine Kissel.

By Jimleuk

On my never-ending quest to find the best embeddings model, I was intrigued to come across Voyage-Context-3 by MongoDB and was excited to give it a try. This template implements the embedding model on a Arxiv research paper and stores the results in a Vector store. It was only fitting to use Mongo Atlas from the same parent company. This template also includes a RAG-based Q&A agent which taps into the vector store as a test to helps qualify if the embeddings are any good and if this is even noticeable. How it works This template is split into 2 parts. The first part being the import of a research document which is then chunked and embedded into our vector store. The second part builds a RAG-based Q&A agent to test the vector store retrieval on the research paper. Read the steps for more details. How to use First ensure you create a Voyage account voyageai.com and a MongoDB database ready. Start with Step 1 and fill in the "Set Variables" node and Click on the Manual Execute Trigger. This will take care of populating the vector store with the research paper. To use the Q&A agent, it is required to publish the workflow to access the public chat interface. This is because "Respond to Chat" works best in this mode and not in editor mode. To use for your own document, edit the "Set Variables" node to define the URL to your own document. This embeddings approach should work best on larger documents. Requirements Voyageai.com account for embeddings. You may need to add credit to get a reasonable RPM for this workflow. MongoDB database either self-hosted or online at https://www.mongodb.com. OpenAI account for RAG Q&A agent. Customising this workflow The Voyage embeddings work with any vector store so feel free to swap out to other such as Qdrant or Pinecone if you're not a fan of MongoDB Atlas. If you're feeling brave, instead of the 3 sequential pages setup I have, why not try the whole document! Fair warning that you may hit memory problems if your instance isn't sufficiently sized - but if it is, go head and share the results!. An n8n automation workflow template by Jimleuk.

By InfraNodus

Build an embeddable AI chatbot with an access to a knowledge base This is an example of a simple AI chatbot that has access to external knowledge to augment its responses. The knowledge can be added manually or imported from multiple sources (text and PDF files, websites, CSVs, Google search results, AI generated, YouTube search results, RSS feeds, etc) using InfraNodus. • no OpenAI account needed • no vector store needed • easy data import: PDF, text, CSV, Google / YouTube results, RSS feeds, websites, or AI-generated How it works First, you add your data into your InfraNodus graph — this will be your knowledge base. You can import this data from multiple sources or add it manually. You will have a visual interface available that will show the main concepts and topics in your knowledge base, so you can have an overview of its structure and know how to improve it, if necessary. Your data is represented as a knowledge graph which contains information about relations and topical clusters in your data, making the LLM responses much more precise. How to use Copy the template Add your InfraNodus API key to the HTTP AI response node Create a new graph in InfraNodus with your data (or import from an external source) Add the name of this graph into the name field of the AI response HTTP node. That's it! You can query it using the embeddable web form available via a URL Requirements You only need an InfraNodus account to set this workflow up. Free 14-day trials are available. An n8n automation workflow template by InfraNodus.

By Abbas Ali

This workflow is designed for teams or freelancers who want to auto-generate and send contracts based on information gathered from a Typeform (e.g., client name, project scope, deadlines). Perfect for HR onboarding, client agreements, or legal operations. Prerequisites To use this workflow, you’ll need: A Typeform account and a published form Access to Google Docs (or use a local document template) Gmail or SMTP email integration in n8n n8n Desktop or a hosted n8n instance How It Works Trigger:** Listens for new Typeform submissions. Extract Data:** Parses the answers from the form. Generate Contract:** Fills a contract template using form inputs. Create PDF:** Exports the filled contract as a PDF. Send Email:** Sends the PDF to the client’s email address provided in the form. Nodes Used Typeform Trigger** – Triggers on form submission. Set Node** – Maps form answers into variables. Google Docs (or HTTP Request)** – Uses a template to generate the contract. Google Drive / PDF Converter** – Converts to PDF (if needed). Email (Gmail/SMTP)** – Sends the completed contract to the recipient. Tips Replace the Google Docs template ID with your own. Ensure the variable placeholders (like {{client_name}}) match your document. Use the Cron node instead of Typeform Trigger if you want to poll periodically. An n8n automation workflow template by Abbas Ali.

By InfraNodus

Teach your AI agent HOW to think, not WHAT to think This workflow demonstrates how you can build an AI agent in n8n that uses the reasoning logic you define. So an LLM learns a way of thinking, which you can then apply to multiple problems: Make an AI chatbot that knows how to convince anybody using the "Getting to Yes" method Build an LLM workflow that uses Ray Dalio's principles to spot investment opportunities Create an AI agent crew of interdisciplinary thinkers: e.g. a specialist in psychology who gives an advice on education programmes. How it works This template uses the n8n AI agent node as an orchestrating agent that has access to a certain reasoning logic defined by an InfraNodus knowledge graph. This graph contains a list of reasoning rules (ontology), which is extracted to provide an advice that is relevant to the original prompt. It uses GraphRAG under the hood to traverse the parts of the graph relevant to the query. This advice and the reasoning logic extracted is then used by the AI agent to generate a response that is relevant to the user's query but that uses the reasoning logic provided through the graph. Here's a description step by step: The user submits a question using the AI chatbot (n8n interface, in this case, a web form that can be embedded to any website, or a webhook that can be connected to a Telegram / WhatsApp bot) The AI agent node accesses the Reasoning Logic HTTP InfraNodus nodes. The description of AI agent and the description of the reasoning InfraNodus node provides the agent with an understanding of how to rephrase the original question to retrieve relevant reasoning logic. The request is sent to the InfraNodus node. It provides a response that contains the reasoning logic needed to answer the question. This reasoning logic is then sent back to an LLM along with the original query to produce the response. InfraNodus uses GraphRAG under the hood: convert user query into graph find the overlap with the reasoning graph (using n=1 or more hops to include more relations) use similarity search to get additional parts of the graph generate a response based on this intersection as well as the context provided provide information about the underlying structure How to use You need an InfraNodus account to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key for the InfraNodus HTTP nodes. Create a separate knowledge graph for the reasoning logic Use the AI ontology creator to generate an ontology for a certain topic or text using AI. Then augment it with your own data. See our help article on creating ontologies for detailed instructions For each graph, go to the workflow, paste the name of the graph into the request JSON body name field. Change the system prompt in the AI agent node to reflect the nature of your reasoning logic. For instance, if it's an expert in interactions, you specify that, if it's a psychology expert, you need to specify that as well. Change the description of the reasoning node (HTTP tool). Use the InfraNodus summary and Project Notes > RAG prompt buttons to generate a description for the reasoning logic, which you can then reuse in your workflow. add the LLM key to the OpenAI node (or to the model of your choice) and launch the workflow Requirements An InfraNodus account and API key An OpenAI (or any other LLM) API key Customizing this workflow You can use this same workflow with a Telegram bot, so you can interact with it using Telegram. There are many more customizations available. Check out the complete guide at https://support.noduslabs.com/hc/en-us/articles/21429518472988-Using-Knowledge-Graphs-as-Reasoning-Experts Also check out the video tutorial with a demo:. An n8n automation workflow template by InfraNodus.

By Margo Rey

Generate and send MadKudu Account Brief into Outreach This workflow generates an account brief tailored to your company using MadKudu MCP and OpenAI and syncs it to a custom field in Outreach. Its for Sales who want to give reps rich account context right inside Outreach, and draft Outreach email with Outreach Revenue Agent based on MadKudu account brief. ✨ Who it's for RevOps or GTM teams using MadKudu + Salesforce + Outreach Sales teams needing dynamic, AI-generated context for target accounts 🔧 How it works 1. Select Accounts: Use a Salesforce node to define which accounts to brief. Filter logic can be updated to match ICP or scoring rules (e.g., MadKudu Fit + LTB). 2. Generate Brief with MadKudu MCP & AI MadKudu MCP provides the account brief instructions, research online for company recent news and provides structured account context from your integrations connected to MadKudu + external signals (firmographics, past opportunities, active contacts, job openings...) The AI agent (OpenAI model) turns this into a readable account brief. 3. Send to Outreach Match account in Outreach via domain. Update a custom field (e.g., custom49) with the brief text. 📋 How to set up Connect your Salesforce account Used to pull accounts that need a brief. Set your OpenAI credentials Required for the AI Agent to generate the brief. Create a n8n Variable to store your MadKudu API key named madkudu_api_key used for the MadKudu MCP tool The AI Agent pulls the account brief instructions and all the context necessary to generate the briefs. Create an Oauth2 API credential to connect your Outreach account Used to sync to brief to Outreach. Customize the Salesforce filter In the “Get accounts” node, define which accounts should get a brief (e.g. Fit > 90). Map your Outreach custom field Update the JSON Body request with your actual custom field ID (e.g. custom49). 🔑 How to connect Outreach In n8n, add a new Oauth2 API credential and copy the callback URL Now go to Outreach developer portal Click “Add” to create a new app In Feature selection add Outreach API (OAuth) In API Access (Oauth) set the redirect URI to the n8n callback Select the following scopes accounts.read, accounts.write Save in Outreach Now enter the Outreach Application ID into n8n Client Id and the Outreach Application Secret into n8n Client secret Save in n8n and connect via Oauth your Outreach Account ✅ Requirements MadKudu account with access to API Key Salesforce Oauth Outreach Admin permissions to create an app OpenAI API Key 🛠 How to customize the workflow Change the targeting logic** Edit the Salesforce filter to control which accounts are eligible. Rewrite the prompt** Tweak the prompt in the AI Agent node to adjust format, tone, or insights included in the brief. Change the Outreach account field** Update the Outreach field where the brief is sync-ed if you're using a different custom field (e.g. custom48, custom32, etc). Use a different trigger** Swap the manual trigger for a Schedule or Webhook to automate the flow end-to-end. An n8n automation workflow template by Margo Rey.

By Yaron Been

This workflow provides automated access to the Wan Video Wan 2.2 T2V Fast AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for video generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete video generation process using the Wan Video Wan 2.2 T2V Fast model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: A very fast and cheap PrunaAI optimized version of Wan 2.2 A14B text-to-video Key Capabilities AI-powered video generation and processing** High-quality video synthesis from inputs** Advanced video manipulation capabilities** Fast, optimized processing for quick results** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Wan Video/wan-2.2-t2v-fast AI model Wan Video Wan 2.2 T2V Fast**: The core AI model for video generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Video Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Video Content Creation**: Generate videos for social media, marketing, and presentations Animation & Motion Graphics**: Create animated content and visual effects Video Editing**: Enhance and transform existing video content Educational Content**: Produce instructional and explainer videos Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #videogeneration #aivideo #videoai #motion #videoautomation #videocreation #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

This workflow provides automated access to the Adamantiamable Lumi AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Adamantiamable Lumi model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Adamantiamable/lumi AI model Adamantiamable Lumi**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Marth - Business Automation

How It Works: The 5-Node Security Flow This workflow efficiently performs a scheduled file integrity audit. 1. Scheduled Check (Cron Node) This is the workflow's trigger. It schedules the workflow to run at a specific, regular interval. Function:** Continuously runs on a set schedule, for example, daily at 3:00 AM. Process:** The Cron node automatically initiates the workflow on its schedule, ensuring consistent file integrity checks without manual intervention. 2. List Files & Checksums (Code Node) This node acts as your static database, defining which files to monitor and their known-good checksums. Function:** Stores the file paths and their verified checksums in a single, easy-to-update array. Process:** It configures the file paths and their valid checksums, which are then passed on to subsequent nodes for processing. 3. Get Remote File Checksum (SSH Node) This node connects to your remote server to get the current checksum of the file being monitored. Function:** Executes a command on your server via SSH. Process:** It runs a command like sha256sum /path/to/file on the server. The current checksum is then captured and passed to the next node for comparison. 4. Checksums Match? (If Node) This is the core detection logic. It compares the newly retrieved checksum from the server with the known-good checksum you stored. Function:** Compares the two checksum values. Process:* If the checksums *do not match**, it indicates a change in the file, and the workflow is routed to the notification node. If they do match, the workflow ends safely. 5. Send Alert (Slack Node) / End Workflow (No-Op Node) These nodes represent the final action of the workflow. Function:** Responds to a detected file change. Process:* If the checksums don't match, the *Slack* node sends a detailed alert with information about the modified file, the expected checksum, and the detected checksum. If the checksums match, the *No-Op** node ends the workflow without any notification. How to Set Up Implementing this essential cybersecurity monitor in your n8n instance is quick and straightforward. 1. Prepare Your Credentials & Server Before building the workflow, ensure all necessary accounts are set up and their credentials are ready. SSH Credential:* Set up an *SSH credential** in n8n with your server's hostname, port, and authentication method (e.g., private key or password). The SSH user must have permission to run sha256sum on the files you want to monitor. Slack Credential:* Set up a *Slack credential* in n8n and note the *Channel ID** of your security alert channel (e.g., #security-alerts). Get Checksums:* *This is a critical step.** Manually run the sha256sum [file_path] command on your server for each file you want to monitor. Copy and save the generated checksum values—these are the "known-good" checksums you will use as your reference. 2. Import the Workflow JSON Get the workflow structure into your n8n instance. Import:** In your n8n instance, navigate to the "Workflows" section. Click the "New" or "+" icon, then select "Import from JSON." Paste the provided JSON code into the import dialog and import the workflow. 3. Configure the Nodes Customize the imported workflow to fit your specific monitoring needs. Scheduled Check (Cron):** Set the schedule according to your preference (e.g., daily at 3:00 AM). List Files & Checksums (Code):* Open this node and *edit the filesToCheck array**. Enter your actual server file paths and paste the "known-good" checksums you manually obtained in step 1. Get Remote File Checksum (SSH):* Select your *SSH credential**. Send Alert (Slack):* Select your *Slack credential* and replace YOUR_SECURITY_ALERT_CHANNEL_ID with your actual *Channel ID**. 4. Test and Activate Verify that your workflow is working correctly before setting it live. Manual Test:** Run the workflow manually. Verify that it connects to the server and checks the files without sending an alert (assuming the files haven't changed). Verify:** To test the alert, manually change one of the files on your server and run the workflow again. Check your Slack channel to ensure the alert is sent correctly. Activate:** Once you're confident in its function, activate the workflow. n8n will now automatically audit the integrity of your critical files on the schedule you set. An n8n automation workflow template by Marth - Business Automation.

By FabioInTech

J.A.R.V.I.S. Multimodal AI assistant on Telegram with OpenAI This workflow transforms your Telegram bot into J.A.R.V.I.S., a powerful, multimodal AI assistant. It can understand and process text, voice messages, images, and documents. The assistant can search the web, scrape websites, generate images, perform calculations, and reference uploaded documents to provide comprehensive and context-aware responses in either text or audio format. 🧑‍💻 Who’s it for This workflow is for developers, AI enthusiasts, and businesses who want to create an advanced, interactive AI assistant on Telegram. It’s perfect for automating customer support, creating a personal AI helper, or exploring the capabilities of multimodal large language models (LLMs) in a practical application. ⚙️ How it works The workflow begins when a message is received by your Telegram bot. A Switch node then directs the data based on the message type: Text:** The message is formatted and sent directly to the main AI agent. Voice:** The audio file is downloaded from Telegram and transcribed into text using the OpenAI API. Image:** The image is downloaded and analyzed by an OpenAI vision model to understand its content. Document:** The file is downloaded and its content is stored in a temporary vector store, making it searchable for the AI. The processed input is then passed to the core "J.A.R.V.I.S." Agent node. This agent uses an OpenAI model, conversational memory, and a suite of tools (Google Search, Web Scraper, Image Generator, Calculator, and the document vector store) to formulate a response. Finally, the workflow checks if the initial message was a voice note; if so, it generates an audio response. Otherwise, it sends the answer as a text message back to the user. 🛠️ How to set up Telegram: Create a Telegram Bot - Use @BotFather to create a bot and obtain your bot token; Add Telegram API credentials in n8n with your bot token to the Receive Message Trigger node and all other Telegram nodes. In the Receive Message node, enter the chatId of the user or group authorized to interact with the bot. OpenAI: Add your OpenAI API credentials to all OpenAI, AI Agent, and AI tool nodes. SerpAPI: Add your SerpAPI credentials to the Basic Google Search node to enable web search functionality. Jina AI: Add your Jina AI API key to the Setup Node - The API Key is used on the Webpage Scraper node. ✅ Requirements Telegram Bot API credentials and Bot token. OpenAI API credentials. SerpAPI API credentials. Jina.ai API credentials 🎨 How to customize the workflow Change the AI model:** You can select a different OpenAI model in the OpenAI Chat Model node (e.g., switch from gpt-4.1 to gpt-4o) or in the Analyze Image and Transcribe nodes. Modify the AI's personality:** Edit the system prompt in the J.A.R.V.I.S. Agent node to change its name, tone, instructions, or default language. Expand its tools:** Connect more tools to the J.A.R.V.I.S. Agent node to extend its capabilities, such as connecting to a database or another third-party API. Adjust the response format:** Modify the If Audio Response node to change the conditions for sending text or audio messages. For example, you could configure it to always respond with text. 💬 Need Help? Join the Discord or ask in the Forum. An n8n automation workflow template by FabioInTech.

By Muhammad Qaisar Mehmood

Build a completely automated LinkedIn content engine using n8n, OpenAI, Google Sheets, and the LinkedIn API. This workflow reads unpublished topics from a Google Sheet, generates engaging AI-powered post content and a relevant image, and publishes directly to LinkedIn — no manual effort required. How It Works This system uses a scheduled trigger (e.g., daily at 9 AM) to: Fetch the first Unpublished topic from your Google Sheet. Generate a compelling, SEO-optimized post description using OpenAI. Create a marketing image that includes the topic title visually. Merge the content and image. Publish the post to your LinkedIn profile. Update the sheet to mark the topic as Published. Prerequisites 1.A Google Sheet with two columns: Topics and Status 2.A verified LinkedIn developer account and app 3.OpenAI API key 4.n8n cloud or self-hosted instance 5.LinkedIn OAuth2 credentials in n8n 6.Google Sheets OAuth2 credentials in n8n Google Sheet Example | Topics | Status | | -------------------------- | ----------- | | How to Automate LinkedIn | Unpublished | | Top AI Tools for Marketers | Unpublished | Step-by-Step Setup Clone or import the provided n8n workflow. Create a Google Sheet with your post topics and mark them as Unpublished Set up OAuth2 credentials in n8n for Google Sheets and LinkedIn. Use the Schedule Trigger node to control posting frequency. Adjust the OpenAI prompt to better match your tone. Add a test topic and verify it generates, posts, and updates correctly. Customization Tips Change posting frequency (daily/hourly) in the Schedule Trigger. Modify the OpenAI prompt for different tones (professional, fun, educational). Use a different image generation model or remove image generation if not needed. Add approval steps before publishing, using Telegram/Slack/email nodes. An n8n automation workflow template by Muhammad Qaisar Mehmood.

By Yaron Been

This workflow provides automated access to the Babysea Babyavatar AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Babysea Babyavatar model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: BabyAvatar - Create Stunning AI Avatars in Seconds Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Babysea/babyavatar AI model Babysea Babyavatar**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

This workflow provides automated access to the Bytedance Omni Human AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for video generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete video generation process using the Bytedance Omni Human model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Turns your audio/video/images into professional-quality animated videos Key Capabilities AI-powered video generation and processing** High-quality video synthesis from inputs** Advanced video manipulation capabilities** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Bytedance/omni-human AI model Bytedance Omni Human**: The core AI model for video generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Video Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Video Content Creation**: Generate videos for social media, marketing, and presentations Animation & Motion Graphics**: Create animated content and visual effects Video Editing**: Enhance and transform existing video content Educational Content**: Produce instructional and explainer videos Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #videogeneration #aivideo #videoai #motion #videoautomation #videocreation #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

This workflow provides automated access to the Bytedance Seededit 3.0 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Bytedance Seededit 3.0 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Text-guided image editing model that preserves original details while making targeted modifications like lighting changes, object removal, and style conversion Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Artistic style control and customization** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Bytedance/seededit-3.0 AI model Bytedance Seededit 3.0**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

This workflow provides automated access to the Fire Flux AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Fire Flux model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: The image generation model tailored for local development and personal use Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Fire/flux AI model Fire Flux**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #flux #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Yaron Been

This workflow provides automated access to the Bytedance Seedream 3 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Bytedance Seedream 3 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model by bytedance for automated processing tasks. Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Bytedance/seedream-3 AI model Bytedance Seedream 3**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation. An n8n automation workflow template by Yaron Been.

By Frankie Wong

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This n8n workflow template helps you automatically convert unstructured contact information—such as customer details copied from emails, web forms, or chat messages—into clean, structured JSON using an AI agent. What It Does: Accepts unstructured contact data via a Webhook (as form-data under the key prompt) Uses AI to intelligently extract key fields such as: Company Name First Name Last Name Address City Country Phone Fax Email Parses and formats the extracted data into a valid JSON object Prepares the output for seamless integration into systems like: Dolibarr Other ERP/CRM platforms Any service that consumes JSON via API or webhook Use Cases: Automate manual data entry from emails into your ERP system Clean and normalize contact data from various input sources Reduce human error in your customer onboarding workflows This template saves you time and ensures consistency across your business systems. Simply connect your systems and let the automation handle the rest. An n8n automation workflow template by Frankie Wong.

By Lakindu Siriwardana

🔧 Automated Video Generator (n8n Workflow) 🚀 Features End-to-End Video Creation from user idea or transcript AI-Powered Scriptwriting using LLMs (e.g., DeepSeek via OpenRouter) Voiceover Generation with customizable TTS voices Image Scene Generation using generative models like together.ai Clip Creation & Concatenation into a full video Dynamic Caption Generation with styling options Google Drive & Sheets Integration for asset storage and progress tracking ⚙️ How It Works User Submits Form with: Main topic or transcript Desired duration TTS voice Visual style (e.g., Pixar, Lego, Cyberpunk) Image generation provider AI generates a script: A catchy title, description, hook, full script, and CTA using a language model. Text-to-Speech (TTS): The script is turned into audio using the selected voice, with timestamped captions generated. Scene Segmentation: The script is split into 5–6 second segments for visual storyboarding. Image Prompt Creation: Each scene is converted into an image prompt in the selected style (e.g., "anime close-up of a racing car"). Image Generation: Prompts are sent to together.ai or fal.ai to generate scenes. Clip Creation: Each image is turned into a short video clip (Ken Burns-style zoom) based on script timing. Video Assembly: All clips are concatenated into a single video. Captions are overlaid using the earlier timestamps. Final Output is uploaded to Google Drive, Telegram and links are saved in Google Sheets. 🛠 Inital Setup 🗣️ 1. Set Up TTS Voice (Text-to-Speech) Run your TTS server locally using Docker. 🧰 2. Set Up NCA-Toolkit The nca-toolkit appears to be a custom video/image processing backend used via HTTP APIs: http://host.docker.internal:9090/v1/image/transform/video http://host.docker.internal:9090/v1/video/concatenate http://host.docker.internal:9090/v1/ffmpeg/compose 🔧 Steps: Clone or build the nca-toolkit container (if it's a private tool): Ensure it exposes port 9090. It should support endpoints for: Image to video (zoom effect) Video concatenation Audio + video merging Caption overlay via FFmpeg Run it locally with Docker: docker run -d -p 9090:80 your-nca-toolkit-image 🧠 3. Set Up together.ai (Image Generation) (Optional You can use ChatGPT API Instead) This handles image generation using models like FLUX.1-schnell. 🔧 Steps: Create an account at: https://www.together.ai Generate your API key. An n8n automation workflow template by Lakindu Siriwardana.

By Candra Reza

Supercharge your sales and marketing with this AI-powered workflow! 🚀 Stop wasting hours on manual company research. This template deploys an autonomous AI agent that takes a list of company names from a Google Sheet, scours the web to find critical information, and automatically updates your sheet with the enriched data. What it does: Reads a list of companies to research from a Google Sheet. Uses an AI agent equipped with Google Search and web scraping tools. Extracts key data points like LinkedIn URLs, pricing details, integrations, market focus (B2B/B2C), and more. Structures the output into a clean JSON object. Updates the original Google Sheet with the new information. Key Features & Customization: This workflow is built to be easily customized. You can modify the AI's prompt in the "AI company researcher" node and adjust the "Structured Output Parser" to gather any public data point you need, such as recent news, key executives, or their technology stack. Required Credentials: OpenAI Google Sheets SerpApi or ScrapingBee for search capabilities. An n8n automation workflow template by Candra Reza.

By Oneclick AI Squad

This n8n workflow automates attendance tracking for construction workers at a designated site in Thaltej, Ahmedabad (GPS coordinates: 23.0489, 72.5118). Using geofencing technology, it logs "Punch In" and "Punch Out" times when workers enter or exit a predefined 100-meter radius around the site, requiring no manual input. Attendance data is stored in Google Sheets for easy access and reporting, and error notifications are sent via email to ensure reliable operation. Good to Know Fully Automated**: Tracks attendance without worker intervention using GPS data from a mobile app. Geofence-Based**: Only logs entries/exits within the Thaltej, Ahmedabad site radius. Structured Logs**: Stores data in Google Sheets with columns for User ID, Punch Type, Punch Date, and Punch Time. Error Handling**: Sends email notifications for any issues in the workflow. Scalable**: Supports multiple workers with unique IDs sent by the GPS app. Real-Time**: Processes location updates instantly for accurate time tracking. How It Works Attendance Tracking Flow Webhook Trigger: Listens for POST requests from a GPS tracking app at the endpoint /webhook/geofence-thaltej-attendance. Expects a JSON payload with: { "latitude": 23.0489, "longitude": 72.5118, "event": "enter", // or "exit" "userId": "worker123" } Validate Geofence & Format Log: Validates the received payload for required fields (latitude, longitude, event, userId). Uses the Haversine formula to check if the coordinates are within 100 meters of Thaltej, Ahmedabad (23.0489, 72.5118). Maps event ("enter" to "in", "exit" to "out") and formats the log with current date and time (e.g., Punch Type: "in", Punch Date: "2025-08-01", Punch Time: "11:53:07"). Skips invalid or out-of-geofence data. Save to Google Sheets: Appends the formatted log to a Google Sheet in the "Attendance" tab, under columns: User ID, Punch Type, Punch Date, Punch Time. Error Notification via Email: Sends an email to a specified address if the workflow encounters errors (e.g., invalid payload or geofence mismatch). Includes error details for troubleshooting. Example Log Output in Google Sheets | User ID | Punch Type | Punch Date | Punch Time | |------------|------------|-------------|------------| | worker123 | in | 2025-08-01 | 11:53:07 | | worker123 | out | 2025-08-01 | 13:30:20 | | worker123 | in | 2025-08-01 | 13:50:21 | How to Use Import Workflow: Copy the workflow JSON (provided below) and import it into n8n via the "Import Workflow" feature. Configure GPS Tracking App: Use a GPS app (e.g., allGeo, Truein, or a custom solution) that supports geofencing and webhook integration. Set the geofence to Thaltej, Ahmedabad (latitude: 23.0489, longitude: 72.5118, radius: 100 meters). Configure the app to send POST requests to the n8n webhook URL (/webhook/geofence-thaltej-attendance) with the payload: { "latitude": 23.0489, "longitude": 72.5118, "event": "enter", // or "exit" "userId": "worker123" } Ensure the app is installed on workers’ devices and running in the background. Set Up Google Sheets: Create a Google Sheet with a tab named "Attendance". Add headers in columns A to D: User ID, Punch Type, Punch Date, Punch Time. Copy the Sheet ID from the URL (e.g., https://docs.google.com/spreadsheets/d/[your_sheet_id]/edit). In n8n, configure Google Sheets OAuth2 credentials and update the sheetId in the workflow. Configure Email Notifications: Set up an email service (e.g., Gmail, SendGrid) in n8n with appropriate credentials. Update the email node with your recipient email address and SMTP settings. Activate Workflow: Save and activate the workflow in n8n. Test by simulating a webhook call or using the GPS app to send a sample payload. Monitor and Verify: Check Google Sheets for attendance logs after workers enter/exit the geofence. Verify error emails are received if issues occur. Requirements n8n Instance**: Self-hosted or cloud-based n8n setup. GPS Tracking App**: A mobile app or service (e.g., allGeo, Truein) that sends geofence events via webhooks. Google Sheets API**: Google Cloud project with Sheets API enabled. OAuth2 credentials configured in n8n. Email Service**: SMTP credentials for an email provider (e.g., Gmail, SendGrid). Worker Devices**: Smartphones with GPS enabled and the tracking app installed. Customizing This Workflow Adjust Geofence Radius**: Modify the radius value in the Function node (e.g., change from 100 meters to 200 meters). Change Location**: Update latitude and longitude in the Function node for a different site. Alternative Storage**: Replace Google Sheets with a database (e.g., MySQL, PostgreSQL) by adding a database node. Custom Email Content**: Modify the email node’s message template for specific error details or branding. Add Authentication**: Secure the webhook with an API key or basic auth in the Webhook node. Multi-Site Support**: Add a Switch node to handle multiple geofence locations by checking coordinates against different sites. An n8n automation workflow template by Oneclick AI Squad.

By Guillaume

🟡 DESCRIPTION This n8n workflow automates the daily generation of comprehensive analytics reports from multiple websites, processes them using OpenAI's powerful language models, and then delivers the insights directly to your email and Slack channels. Designed for digital marketers, website administrators, and data analysts, this template streamlines the tedious process of manually collecting and interpreting website performance data, offering immediate, actionable intelligence. The core problem this workflow solves is the fragmentation and manual effort involved in monitoring numerous website analytics. Instead of logging into multiple Google Analytics accounts or properties daily, this workflow centralizes data extraction, enriches it with AI-powered summaries, and distributes it to your preferred communication platforms. This significantly reduces the time spent on routine reporting, allowing you to focus on strategy and decision-making. Users who would benefit most from this template include: Digital Marketing Agencies: Efficiently generate and share client reports across multiple properties. E-commerce Businesses: Monitor performance of various product sites or regional domains. Content Creators: Track the success of different blogs or content platforms. Anyone managing a portfolio of websites: Gain a unified view of their digital assets' performance. 🟡 SETUP Before importing and running this workflow, ensure you have the following prerequisites in place: ► Google Analytics API Setup: Go to the Google Cloud Console (https://console.cloud.google.com/). Create a new project or select an existing one. Navigate to "APIs & Services" > "Enabled APIs & services." Search for and enable the "Google Analytics Data API" (for GA4) or "Google Analytics Reporting API" (for Universal Analytics, if still in use). Go to "APIs & Services" > "Credentials." Create "OAuth client ID" credentials for a "Web application." Copy your client ID and client secret. In n8n, add a new Google Analytics credential using the "OAuth2" authentication method. Provide the Client ID and Client Secret. You will need to authorize n8n to access your Google Analytics data. Scopes https://www.googleapis.com/auth/analytics.readonly (read-only) or https://www.googleapis.com/auth/analytics (manage) OAuth Redirect URL Already pre-filled by n8n (copy this when creating the Google client) Click Sign in with Google, choose the GA account, and approve the requested scopes. Click Save – n8n tests the token and stores it encrypted. For each yourwebsite.com node, select these credentials and specify the correct Google Analytics View ID (for Universal Analytics) or Property ID (for GA4). ► Email Credentials (SMTP): In n8n, add a new SMTP credential. Provide your SMTP host, port, username, and password. This will be used to send the aggregated reports. ► Slack Credentials: In n8n, add a new Slack credential. Follow the instructions to create a Slack App and generate a Bot User OAuth Token. This token will allow n8n to post messages to your Slack channels. ► OpenAI Credentials: Sign up for an OpenAI account (https://platform.openai.com/). Generate an API Key from your account dashboard. In n8n, add a new OpenAI credential and paste your API Key. ► Website Configuration: The workflow currently includes nodes for yourwebsite.com (1 to 8). For each "Get Report" node (e.g., yourwebsite.com, yourwebsite.com 2, etc.), duplicate or remove them as needed to match the number of Google Analytics properties you wish to monitor. Replace the names and number of websites inside the report maker agent. 🟡 Usage Once you have configured the credentials, you can customize the workflow to fit your specific needs, including leveraging various alternative nodes for sending notifications and reports. This flexibility allows you to integrate seamlessly with your preferred communication tools such as Gmail, Telegram, Outlook, or any other service supported by n8n's extensive node library. An n8n automation workflow template by Guillaume.

By Naitik Joshi

🚀 AI-Powered LinkedIn Post Generator with Automated Image Creation 📋 Overview Transform any topic into professional LinkedIn posts with AI-generated content and custom images! This workflow automates the entire process from topic input to published LinkedIn post, including professional image generation using Google's Imagen 4 API. ✨ Key Features 🤖 AI Content Generation: Uses Google Gemini to create engaging LinkedIn posts 🎨 Professional Image Creation: Automatically generates images using Google Imagen 4 📱 Direct LinkedIn Publishing: Posts content and images directly to your LinkedIn feed 🔄 Form-Based Input: Simple web form to submit topics 📝 Content Formatting: Converts markdown to LinkedIn-friendly format 🔧 What This Workflow Does 📝 Form Submission: User submits a topic through a web form 🗺️ Data Mapping: Maps the topic for AI processing 🧠 AI Content Generation: Google Gemini creates post content and image prompt 🎯 Content Normalization: Cleans and formats the AI output 🖼️ Image Generation: Creates professional images using Google Imagen 4 📤 LinkedIn Registration: Registers image upload with LinkedIn API 🔄 Binary Conversion: Converts base64 image to binary buffer ⬆️ Image Upload: Uploads image to LinkedIn 📋 Content Curation: Converts markdown to LinkedIn format ⏳ Processing Wait: Ensures image is fully processed 🚀 Post Publishing: Publishes the complete post to LinkedIn 🛠️ Prerequisites & Setup 🔑 Required Credentials 1. LinkedIn OAuth 2.0 Setup 🔗 You'll need to create a LinkedIn app with the following OAuth 2.0 scopes: ✅ openid - Use your name and photo ✅ profile - Use your name and photo ✅ w_member_social - Create, modify, and delete posts, comments, and reactions on your behalf ✅ email - Use the primary email address associated with your LinkedIn account Steps to get LinkedIn credentials: Go to LinkedIn Developer Portal Create a new app or use existing one Configure OAuth 2.0 settings with the scopes above Get your access token from the authentication flow 2. Google Cloud Platform Setup ☁️ Required GCP Services to Enable: 🎯 Vertex AI API - For Imagen 4 image generation 🔐 Cloud Resource Manager API - For project management 🛡️ IAM Service Account Credentials API - For authentication Steps to get GCP token: Install Google Cloud SDK Authenticate: gcloud auth login Set project: gcloud config set project YOUR_PROJECT_ID Get access token: gcloud auth print-access-token > 💡 Note: The access token expires after 1 hour. For production use, consider using service account credentials. 🔧 n8n Node Credentials Setup LinkedIn OAuth2 API: Configure with your LinkedIn app credentials HTTP Bearer Auth (LinkedIn): Use your LinkedIn access token HTTP Bearer Auth (Google Cloud): Use your GCP access token Google Gemini API: Configure with your Google AI API key 📊 Workflow Structure graph LR A[📝 Form Trigger] --> B[🗺️ Mapper] B --> C[🤖 AI Agent] C --> D[🎯 Normalizer] D --> E[🖼️ Text to Image] E --> F[📤 Register Upload] F --> G[🔄 Binary Converter] G --> H[⬆️ Upload Image] H --> I[📋 Content Curator] I --> J[⏳ Wait] J --> K[🚀 Publish to LinkedIn] 🎨 Image Generation Details The workflow uses Google Imagen 4 with these parameters: 📐 Aspect Ratio: 1:1 (perfect for LinkedIn) 🎯 Sample Count: 1 options generated 🛡️ Safety Setting: Block few (content filtering) 💧 Watermark: Enabled 🌍 Language: Auto-detect 📝 Content Processing The AI generates content in this JSON structure: { "post_content": { "text": "Your engaging LinkedIn post content with hashtags" }, "image_prompt": { "description": "Professional image generation prompt" } } 🔄 LinkedIn API Integration Image Upload Process: Register Upload: Creates upload session with LinkedIn Binary Upload: Uploads image as binary data Post Creation: Creates post with text and image reference API Endpoints Used: 📤 POST /v2/assets?action=registerUpload - Register image upload 📝 POST /v2/ugcPosts - Create LinkedIn post ⚠️ Important Notes 🕐 Rate Limits: LinkedIn has API rate limits - monitor your usage ⏱️ Processing Time: Image generation can take 10-30 seconds 🔄 Token Refresh: GCP tokens expire hourly in development 📏 Content Length: LinkedIn posts have character limits 🖼️ Image Size: Generated images are optimized for LinkedIn 🚀 Getting Started Import the workflow into your n8n instance Configure all credentials as described above Enable required GCP services in your project Test the form trigger with a sample topic Monitor the execution for any errors Adjust the AI prompt if needed for your content style 🛠️ Customization Options 🎨 Modify image style in the system prompt 📝 Adjust content tone in the AI agent configuration 🔄 Change wait time between upload and publish 🎯 Add content filters for brand compliance 📊 Include analytics tracking for post performance 💡 Tips for Best Results 🎯 Be specific with your topic inputs 🏢 Use professional language for business content 🔍 Review generated content before publishing 📈 Monitor engagement to refine your prompts 🔄 Test thoroughly before production use 🐛 Troubleshooting Common Issues: ❌ "Invalid credentials": Check token expiration ❌ "Image upload failed": Verify LinkedIn API permissions ❌ "Content generation error": Check Gemini API quota ❌ "Post creation failed": Ensure proper wait time after image upload 📚 Additional Resources 📖 LinkedIn Marketing API Documentation 🤖 Google Vertex AI Imagen Documentation 🔧 n8n Documentation 🚀 Google Gemini API Guide 💬 Need Help? Join the n8n community forum or check the troubleshooting section above! 🌟 Found this useful? Give it a star and share your improvements with the community!. An n8n automation workflow template by Naitik Joshi.

By Intuz

This n8n template from Intuz provides a complete and automated solution to streamline your sales and accounting process. Simply add new transaction details to a designated Google Sheet, and this workflow takes over. Using specific status keywords in a column to trigger the process, it automatically creates new customer profiles and generates sales receipts in QuickBooks. This creates a complete, end-to-end system from a simple spreadsheet entry to a formal accounting record, eliminating manual data entry. How it works This workflow streamlines the process of recording sales from a Google Sheet into QuickBooks Online, intelligently handling both new and existing customers. 1. Trigger on New Row: The workflow starts automatically whenever a new row is added to your specified Google Sheet. 2. Check for Existing Customer: It takes the customer's name from the new row and searches your QuickBooks account to see if a customer with that DisplayName already exists. 3. Conditional Logic (IF Node): Based on the search result, the workflow splits into two paths: If Customer Exists (True Path): The workflow proceeds directly to create a Sales Receipt, linking it to the existing customer's ID found in the search. If Customer Does Not Exist (False Path): The workflow first creates a new customer in QuickBooks using the name and email from the sheet. It then uses the ID of this newly created customer to generate the corresponding Sales Receipt. How to Use: Quick Start Guide Prepare your Google Sheet: Make sure you have a Google Sheet with clear headers for your sales data. The template is configured for the following columns: CustomerName, Email, Amount, and Quantity. Import the Template: Click the "Use Template" button to import the workflow into your n8n instance. Configure Google Sheet Node: Enter the Spreadsheet ID from your Google Sheet's URL. Enter the Sheet Name where your sales data is located (e.g., Sheet1). Configure the QuickBooks Nodes: Select your QuickBooks Online credential or create a new one for the "Search for Customer", "Create Receipt for EXISTING Customer", "Create New Customer", and "Create Receipt for NEW Customer" nodes. Important: In both "Create Receipt" nodes, you must provide a valid Product/Service ID from your QuickBooks account. Find this in the node parameters under Line > Sales Item Line Detail > Item Ref > Value. Activate the Workflow: Save your changes and activate the workflow. Now, every new row you add to the Google Sheet will automatically create the necessary records in QuickBooks. Key Requirements to Use Template An active n8n instance. A Google account with a prepared Google Sheet. A QuickBooks Online account. A QuickBooks Developer account to obtain the API credentials needed to connect to n8n. At least one Product or Service item set up in your QuickBooks account to be referenced in the sales receipts. Connect with us Website: https://www.intuz.com/n8n-workflow-automation-templates Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Workflow Automation Click here- Get Started. An n8n automation workflow template by Intuz.

By Jamot

Send one WhatsApp message → Get AI-optimized content across 7+ social platforms. Who It's For Solopreneur managing multiple platforms on the go (X/Twitter, Instagram, LinkedIn, Facebook, TikTok, Threads, YouTube Shorts). What It Solves Eliminates 80% of manual content creation work while maintaining brand consistency across all channels. How It Works AI Content Generation GPT-4/Gemini creates platform-specific posts with hashtags, CTAs, and emojis Auto-generates images via OpenAI/Pollinations.ai SERP API finds relevant trending content Approval Workflow HTML email previews for human review Double-approval system via Gmail integration One-Click Publishing Instagram/Facebook (Graph API) X/Twitter (Official API) LinkedIn (Sales Navigator) Setup Requirements API keys: OpenAI, Gemini, social platform tokens, ImgBB, SERP API Gmail and Telegram for notifications Replace "your-unique-id" placeholders in API nodes Customization Content**: Edit AI prompts for brand voice Approval**: Modify email templates and thresholds Analytics**: Connect Google Sheets for tracking Images**: Switch between AI image generators. An n8n automation workflow template by Jamot.

By plemeo

Who’s it for Social-media teams and influencers who want to grow engagement by automatically posting short, relevant comments on new Instagram posts under rotating hashtags—while staying under platform limits. How it works / What it does Schedule Trigger fires every 2 h at a specified minute. Select Cookie chooses a rotating Instagram session-cookie by time slice. Generate Random Hashtag (GPT-4o) outputs a realistic AI/BPA tag. Hashtag Agent (Phantombuster) scrapes up to ENV_MAX_POSTS_PER_HASHTAG recent posts. Get Random Post picks one; Create Comment (GPT-4o) crafts a ≤150-character reply in the chosen language. Builds instagram_post_to_comment.csv, uploads to SharePoint, then launches the Auto-comment Agent which posts the reply. Post URL is logged to instagram_posts_already_commented.csv to avoid duplicates. Wait nodes throttle launches to ≈80 comments/day. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • instagram_session_cookies.txt – one cookie per line. • instagram_posts_already_commented.csv with header postUrl. Edit Set ENV Variables to set default language, prompt, and max posts per scrape. Activate the workflow; it will comment every 2 h. Requirements n8n 1.33 + Phantombuster Growth plan (API access) OpenAI account (GPT-4o) Microsoft 365 SharePoint tenant How to customize Change tone/length: tweak prompt in Create Comment. Comment more often: raise ENV_MAX_POSTS_PER_HASHTAG, adjust cron, and agent limits. Swap SharePoint for Drive/Dropbox by replacing storage nodes. An n8n automation workflow template by plemeo.

By plemeo

Who’s it for Community managers, growth hackers, and brands that want to grow their Instagram audience by automatically following new, relevant profiles— while respecting daily limits. How it works / What it does Schedule Trigger runs hourly at a specified minute. Select Cookie chooses a rotating Instagram session-cookie (time-slice logic). Get List of Accounts downloads a CSV of seed profiles from SharePoint. Follower Collector Agent (Phantombuster) fetches each seed profile’s followers (limit set by ENV_AMOUNT_FOLLOWERS_PER_PROFILE). Autofollow Agent follows up to ENV_PROFILES_TO_PROCESS of those followers per launch. Wait nodes pause between Phantombuster calls and poll until each run is complete. Rate-limit configuration keeps follows between 1 and 40 per hour. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, (optional) OpenAI API key if you later add AI. In SharePoint › “Phantombuster” folder add: • instagram_session_cookies.txt – one cookie per line. • accounts_to_follow.csv – header profileUrl, one seed profile per line. Update Set ENV Variables to control profiles/launch and followers/profile. Adjust schedule frequency or Wait durations to meet your plan limits. Activate the workflow; it will follow new profiles every hour. Requirements n8n 1.33 + Phantombuster Growth plan (API access) Microsoft 365 SharePoint tenant How to customize Scrape hashtags instead of followers: replace the Follower Collector agent with a Hashtag‐to‐Profiles agent. Increase speed: raise ENV_PROFILES_TO_PROCESS and cron frequency (ensure you stay within Instagram limits). Swap SharePoint for Drive/Dropbox by replacing storage nodes. An n8n automation workflow template by plemeo.

By plemeo

Who’s it for Social-media managers and brands that want to keep their Instagram accounts active by automatically liking fresh posts under selected hashtags—hands-free and rate-limited. How it works / What it does Schedule Trigger runs every 2 hours at a specified minute. Select Cookie chooses a rotating Instagram session-cookie (time-slice logic). Generate Random Hashtag (GPT-4o) outputs a realistic AI/BPA hashtag. Instagram Hashtag Agent (Phantombuster) scrapes up to ENV_MAX_POSTS_PER_HASHTAG recent posts. Get Random Post selects one; duplicate checker ensures it hasn’t been liked before (SharePoint CSV). Builds instagram_posts_to_like.csv, uploads to SharePoint, then launches the Auto-like Agent which likes the post. Post URL is appended to instagram_posts_already_liked.csv to avoid duplicates. Wait nodes throttle launches to ~12 likes per profile daily. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • instagram_session_cookies.txt – one cookie per line. • instagram_posts_already_liked.csv with header postUrl. Adjust Set ENV Variables to change max posts per scrape. Activate the workflow; it will like one post every 2 hours. Requirements n8n 1.33 + Phantombuster Growth plan (API access) OpenAI account Microsoft 365 SharePoint tenant How to customize Target a different niche: edit hashtag prompt in Generate Random Hashtag. Like more posts: raise ENV_MAX_POSTS_PER_HASHTAG, numberOfPostsPerLaunch, or schedule frequency. Replace SharePoint with Drive/Dropbox by swapping storage nodes. An n8n automation workflow template by plemeo.

By plemeo

Who’s it for B2B marketers, recruiters, and personal-brand builders who want to spark conversations on LinkedIn by automatically posting short, relevant comments on fresh industry content—while staying under daily limits. How it works / What it does Schedule Trigger fires every hour. Select Cookie picks a rotating LinkedIn session-cookie (time-slice logic). Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword. LinkedIn Search Agent (Phantombuster) scrapes recent posts. Get Random Post chooses one post and passes its text to Create Comment (GPT-4o) which returns a ≤150-character reply in the chosen language. Builds linkedin_posts_to_comment.csv, uploads to SharePoint, and launches the Auto-comment Agent to post the reply. Post URL is logged to linkedin_posts_already_commented.csv to avoid duplicates. Wait nodes throttle launches to ~120 comments/day. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • linkedin_session_cookies.txt – one cookie per line. • linkedin_posts_already_commented.csv with header postUrl. Edit Set ENV Variables to set default language, comment prompt, company ID, etc. Adjust schedule or comments-per-launch as needed. Activate the workflow; it will run hourly and comment on one new post each launch. Requirements n8n 1.33 + Phantombuster Growth plan (API access) OpenAI account Microsoft 365 SharePoint tenant How to customize Change tone/length: edit the prompt in Create Comment. Comment more often: raise numberOfLinesPerLaunch and schedule frequency. Use Google Drive/Dropbox instead of SharePoint by swapping storage nodes. An n8n automation workflow template by plemeo.

By WeblineIndia

Auto-Generate GitHub Release Notes and Notify via Slack (n8n Workflow) This n8n workflow automates the process of: Generating structured GitHub release notes from merged pull requests since the last tag. Creating a draft GitHub release using the latest tag and PR info. Sending a formatted summary to a Slack channel. All of this is triggered manually via a form, where the user inputs the repository, owner and target branch. Who's It For This flow is perfect for: Open-source maintainers** looking to automate changelog management. DevOps engineers** handling release cycles. Engineering teams** maintaining structured, consistent GitHub releases. Technical writers** who prepare release notes. How It Works Node Summary: | Node No | Node Name | Description | |---------|------------------------------------|---------------------------------------------------------------| | 1 | GitHub Release Input Form | Takes user inputs (owner, repo, branch). | | 2 | Config | Extracts input and defines PR label grouping config. | | 3 | Get Latest Git Tag | Fetches latest Git tag (used as reference point). | | 4 | Get Commit Date of Latest Tag | Gets the exact timestamp of the latest tag's commit. | | 5 | Fetch All Merged PRs Since Last Tag | Queries GitHub for PRs merged after that timestamp. | | 6 | Group PRs & Generate Release Notes | Organizes PRs by label and generates markdown notes. | | 7 | GitHub Pre-release | Creates a draft GitHub release with those notes. | | 8 | Send Message to Slack | Sends the final release summary to Slack. | How to Set Up Clone or import this workflow into your n8n instance. Configure the following credentials: GitHub OAuth or PAT (Personal Access Token) Slack Webhook URL or OAuth credentials Open the form node and fill in: owner: GitHub username/org repo: GitHub repository name branch: Base branch (e.g., main) Run the workflow manually and observe the release note being: Created as a draft on GitHub Sent to Slack Requirements | Requirement | Description | |-----------------|-----------------------------------------------------| | n8n version | Cloud or Self-Hosted | | GitHub Access | A token with repo and write:repo_hook permissions | | Slack Access | Webhook URL or Slack OAuth app | | Git Tags | Semantic versioning tags pushed to the repo | | Labels | PRs should be labeled (e.g., feature, bug, other) for grouping | How to Customize | Feature | How to Customize | |---------------------|---------------------------------------------------------------| | Label Grouping | Modify the config map in the Config node (step 2). | | PR Filtering | Adjust the search query in node 5 to fit your repo's conventions. | | Markdown Template | Tweak markdown generation logic in node 6. | | Slack Message Format| Customize the Slack text in node 8. | | Tag Format | Switch from semantic versioning if needed in node 3 logic. | | Release Type | Change draft: true to false in node 7 for immediate publishing. | Add‑ons You can extend the flow by: Adding a cron scheduler for periodic releases. Sending release notes via email (use the Email node). Publishing directly to Jira or Confluence. Posting GitHub release links to Discord. Use Case Examples | Scenario | Description | |---------------------------|---------------------------------------------------------------| | OSS Team Weekly Releases | Automatically publish weekly release notes summarizing merged PRs. | | Sprint Review Reports | Use it at the end of each sprint to generate change summaries. | | CI/CD Pipelines | Integrate with GitHub Actions or Jenkins for automated tagging + release. | Common Troubleshooting | Issue | Possible Cause | Solution | |----------------------------------------|-------------------------------------------|----------------------------------------------------------------------| | No data found for item-index: "1" | GitHub Search returned no PRs | Ensure PRs were merged after the last tag and branch name is correct | | Cannot access $node in code | Wrong script execution context | Ensure JavaScript is selected and variables are accessed properly | | draft must be boolean | Draft field passed as string | Use true (not "true") in JSON input of HTTP node | | PR labels not grouped | PRs have no matching labels | Update your label config map or ensure labels exist on PRs | | Empty Slack message | Slack node not receiving data | Ensure $json.release_notes is being passed correctly | Need Help? Need help setting this up for your team or extending it for more features (e.g., JIRA, auto-tagging, changelog export)? We're here to help you customize, debug and scale this flow. Feel free to reach out WeblineIndia if you need: One-on-one setup assistance. Custom n8n nodes or scripts. Advanced GitHub/Slack integrations. An n8n automation workflow template by WeblineIndia.

By Naveen Choudhary

Description This workflow automatically monitors and tracks SEC Form D filings (private placement offerings) by fetching data from the SEC EDGAR database every 10 minutes during business hours and saving new filings to Google Sheets for analysis and tracking. Who's it for Venture capitalists** tracking private funding rounds and market activity Investment analysts** researching private placement trends and opportunities Financial researchers** collecting data on private securities offerings Business development teams** identifying potential partnership or acquisition targets Compliance professionals** monitoring regulatory filings in their industry How it works The workflow connects to the SEC EDGAR RSS feed to fetch the latest Form D filings, parses the XML data, extracts key information including CIK numbers and filing links, filters out duplicates from previous runs, and automatically saves new filings to a Google Sheets document for easy analysis and tracking. What it does Automated scheduling - Runs every 10 minutes during business hours (6 AM - 9 PM, Monday-Friday) Fetches SEC data - Retrieves the 40 most recent Form D filings from SEC EDGAR RSS feed Parses filing data - Converts XML to structured data and extracts CIK numbers, titles, and links Filters duplicates - Only processes new filings that haven't been seen in previous executions Saves to sheets - Appends new filing data to Google Sheets with proper formatting Requirements Google Sheets API access** with OAuth2 credentials configured Google Sheets document** - Make a copy of this template sheet n8n instance** running continuously for scheduled execution How to set up Copy the template Google Sheet from the link above to your Google Drive Configure Google Sheets OAuth2 authentication in n8n credentials Update the Google Sheets document ID in the "Save to SEC Data Sheet" node to point to your copied sheet Customize the User-Agent header in the HTTP Request node with your contact information (required by SEC) Activate the workflow - The schedule trigger will start monitoring automatically Test manually by replacing the Schedule Trigger with a Manual Trigger for initial testing How to customize the workflow Schedule frequency**: Modify the cron expression in the Schedule Trigger (default: every 10 minutes) Business hours**: Adjust the time range (default: 6 AM - 9 PM EST) Working days**: Change from Monday-Friday to include weekends if needed Filing count**: Modify the SEC URL to fetch more than 40 filings (change count=40 parameter) Form types**: Update the URL to track different SEC forms (change type=D to other form types) Output format**: Customize the Google Sheets column mapping to include additional fields Notifications**: Add Slack, email, or webhook nodes to get alerts for new filings Output data includes CIK Number** - Central Index Key for the filing company Company Title** - Name of the company making the filing Form Type** - Type of SEC form (Form D for private placements) HTML Filing Link** - Link to view the filing in SEC EDGAR system TXT Filing Link** - Direct link to the raw text version of the filing Updated Date** - When the filing was submitted to SEC Key features Duplicate prevention** - Built-in deduplication ensures no filing is processed twice Business hours scheduling** - Respects SEC server load by running only during business hours SEC compliance** - Includes proper User-Agent header as required by SEC guidelines Automatic link generation** - Creates both HTML and TXT links for easy access to filings CIK extraction** - Automatically extracts company CIK numbers from filing titles Note: This workflow is designed for monitoring public SEC filings and complies with SEC EDGAR access guidelines. The User-Agent header must be updated with your contact information before use. An n8n automation workflow template by Naveen Choudhary.

By Msaid Mohamed el hadi

📸 Instagram Full Profile Scraper with Apify and Google Sheets This n8n workflow automates the process of scraping full Instagram profiles using a custom Apify actor, and logs the results into a Google Sheet. It is designed to run at scheduled intervals and process a list of usernames by calling the API, appending the results, and marking them as processed. 🚀 Features ⏱ Scheduled Execution – Runs automatically every few minutes. 📄 Google Sheets Integration – Reads a list of Instagram usernames and updates the same sheet. 🧠 Apify Actor – Fetches full public Instagram profile data. 🧮 Aggregation – Batches usernames for bulk scraping. ✍️ Data Logging – Appends scraped data to a second sheet. ✅ Tracking – Marks usernames as processed once scraped. 📁 Workflow Structure graph TD; ScheduleTrigger --> GetUsernames; GetUsernames --> LimitItems; LimitItems --> AggregateUsernames; AggregateUsernames --> CallApifyActor; CallApifyActor --> AppendToSheet; CallApifyActor --> MarkAsScraped; 🛠 Setup Google Sheet Create a Google Sheet with: Sheet 1 named Usernames (GID: 0) Columns: username, scraped Sheet 2 named fullprofiles (GID: 458127000) Sample sheet: 🔗 Instagram Profile Sheet n8n Configuration Import this workflow into your n8n instance. Set up your Google Sheets credentials (googleSheetsOAuth2Api). Replace apify_api_your token in the HTTP Request node with your Apify API token. 📦 Required Credentials Google Sheets OAuth2** – For reading and writing sheet data. Apify API Token** – To call the custom actor for profile scraping. 📊 Sheets Used | Sheet Name | Purpose | | -------------- | -------------------------------- | | Usernames | Source of usernames to scrape | | fullprofiles | Destination of full profile data | 📌 Apify Actor Info > Instagram Full Profile Scraper > This actor fetches extended profile information from public Instagram profiles. 🔗 View on Apify 🔁 Workflow Nodes Overview | Node | Purpose | | ------------------------ | ----------------------------------------------------------------- | | Schedule Trigger | Triggers the workflow periodically. | | Get Usernames | Reads usernames from the Usernames sheet. | | Limit | Limits processing to 20 usernames per run. | | Aggregate | Groups usernames into a batch for the API call. | | Call Apify Actor | Sends the usernames to the Apify actor and receives profile data. | | Append Full Profiles | Appends the scraped data to the fullprofiles sheet. | | Mark Username as Scraped | Marks the processed usernames as scraped = TRUE. | | Sticky Note | Provides a reference link to the Apify actor used. | 📌 Example Sheet Structure Usernames Sheet | username | scraped | | ------------ | ------- | | exampleuser1 | | | exampleuser2 | TRUE | fullprofiles Sheet | username | full\_name | biography | follower\_count | ... | | -------- | ---------- | --------- | --------------- | --- | 🔐 Security & Notes This workflow does not bypass any Instagram privacy restrictions. It works only with public Instagram profiles. You are responsible for ensuring that scraping complies with Instagram’s terms of service and any applicable laws. 📬 Support For any issues, feel free to reach out: 👤 @mohamedgb00714 📧 mohamedgb00714@gmail.com. An n8n automation workflow template by Msaid Mohamed el hadi.

By Msaid Mohamed el hadi

🔍 AI-Powered Website Prompt Executor (Apify + OpenRouter) This workflow combines the power of Apify and OpenRouter to scrape website content and execute any custom prompt using AI. You define what you want — whether it’s extracting contact details, summarizing content, collecting job offers, or anything else — and the system intelligently processes the site to give you results. 🚀 Overview This workflow allows you to: Input a URL and define a prompt. Scrape the specified number of pages from the website. Process each page’s metadata and Markdown content. Use AI to interpret and respond to the prompt on each page. Aggregate and return structured output. 🧠 How It Works Input Example { "enqueue": true, "maxPages": 5, "url": "https://apify.com", "method": "GET", "prompt": "collect all contact informations available on this website" } Workflow Steps | Step | Action | | ---- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | 1 | Triggered by another workflow with JSON input. | | 2 | Calls the Apify actor firescraper-ai-website-content-markdown-scraper to scrape content. | | 3 | Loops through the scraped pages. | | 4 | AI analyzes each page based on the input prompt. | | 5 | Aggregates AI outputs across all pages. | | 6 | Final AI processing step to return a clean structured result. | 🛠 Technologies Used Apify** – Scrapes structured content and Markdown from websites. OpenRouter** – Provides access to advanced AI models like Gemini. LangChain** – Handles AI agent orchestration and prompt interpretation. 🔧 Customization Customize the workflow via the following input fields: url: Starting point for scraping maxPages: Limit the number of pages to crawl prompt: Define any instruction (e.g., “summarize this website,” “extract product data,” “list all emails,” etc.) This allows dynamic, flexible use across various use cases. 📦 Output The workflow returns a JSON result that includes: Processed prompt responses from each page Aggregated AI insights Structured and machine-readable format 🧪 Example Use Cases 🔍 Extracting contact information from websites 📄 Summarizing articles or company profiles 🛍️ Collecting product information 📋 Extracting job listings or news 📬 Generating outreach lists from public data 🤖 Used as a tool within other AI agents for real-time web analysis 🧩 Integrated as an external tool in MCP (Multi-Component Prompt) servers to enhance AI capabilities 🔐 API Credentials Required You will need: Apify API token** – For running the scraper actor OpenRouter API key** – For AI-powered prompt processing Set these credentials in your environment or n8n credential manager before running. An n8n automation workflow template by Msaid Mohamed el hadi.

By Robert Breen

This beginner-friendly n8n workflow teaches essential data manipulation techniques using Google Sheets and AI. You'll learn how to: ✅ Merge two datasets by a shared column (Channel) 🔍 Filter rows based on performance metrics (Clicks, Spend) 🔀 Branch logic into "Great" vs. "Poor" outcomes 📊 Summarize results by team leader 🤖 Use an OpenAI-powered agent to generate a written analysis highlighting the best and worst performers Perfect for marketers, analysts, or anyone learning how to clean, transform, and interpret data inside n8n. Includes: 📁 Sample Google Sheet to copy 🛠 Setup instructions for Google Sheets & OpenAI ✨ AI summary powered by GPT-4o-mini 👋 Questions or Feedback? Feel free to reach out — I’m happy to help! Robert Breen Founder, Ynteractive 🌐 ynteractive.com 📧 robert@ynteractive.com 📺 YouTube: YnteractiveTraining 🔗 LinkedIn: linkedin.com/in/robertbreen. An n8n automation workflow template by Robert Breen.

By Margo Rey

Prepare external meetings in Google Calendar with AI summaries powered by MadKudu Intelligence Automatically prepare for external meetings by generating AI-powered attendee briefs and sending them to your calendar, using MadKudu MCP. Who’s it for This workflow is designed for customer-facing professionals—such as Account Executives, Customer Success Managers, or Founders—who want to walk into meetings informed, without spending time researching attendees. It’s perfect for teams that use Google Calendar, manage accounts in a CRM, and want to automate meeting prep with real-time enrichment and summaries. How it works The workflow checks Google Calendar every hour for upcoming meetings. It filters out internal-only meetings using your company email domain. For meetings with external attendees, it: Uses MadKudu MCP to enrich attendees and company Summarizes attendee details and context using an OpenAI model It creates a private calendar event with the meeting brief, visible only to you. How to set up Connect your Google Calendar account. Set your MadKudu API Key as a variable Connect your OpenAI credentials. Set your company domain (e.g. acme.com) as a variable Test and Activate the workflow. Requirements Google Calendar integration OpenAI credentials MadKudu account with access to API key How to customize the workflow Adjust the trigger frequency to check more or less often. Update the prompt in the AI Agent node to control the summary format or tone. An n8n automation workflow template by Margo Rey.

By Arlin Perez

🔍 Description: Effortlessly delete unused or inactive workflows from your n8n instance while automatically backing them up as .json files into your Google Drive. Keep your instance clean, fast, and organized — no more clutter slowing you down. This workflow is ideal for users managing large self-hosted n8n setups, or anyone who wants to maintain optimal performance while preserving full workflow backups. ✅ What it does: Accepts a full n8n Workflow URL via a form Retrieves workflow info automatically Converts the workflow’s full JSON definition into a file Uploads that file to Google Drive Deletes the workflow safely using the official n8n API Sends a Telegram notification confirming backup and deletion ⚙️ How it works: 📝 Form – Collects the full workflow URL from the user 🔍 n8n Node (Get Workflow) – Uses the URL to fetch workflow details 📦 Code Node ("JSON to File") – Converts the workflow JSON into a properly formatted .json file with UTF-8 encoding, ready to be uploaded to Google Drive. ☁️ Google Drive Upload – Uploads the .json backup file to your selected Drive folder 🗑️ n8n Node (Delete Workflow) – Deletes the workflow from your instance using its ID 📬 Telegram Notification – Notifies you that the workflow was backed up and deleted, showing title, ID, and date 📋 Requirements: Google Drive connected to your n8n account Telegram Bot connected to n8n An n8n instance with API access (self-hosted or Cloud) Your n8n API Key (Create one in the settings) 🛠️ How to Set Up: ✅ Add your Google Drive credentials ✅ Add your Telegram Bot credentials 🧾 In the “JSON to File” Code node, no additional setup is required — it automatically converts the workflow JSON into a downloadable .json file using the correct encoding and filename format. ☁️ In the Google Drive node: Binary Property: data Folder ID: your target folder in Google Drive 🔑 Create a new credential for the n8n node using: API Key: your personal n8n API key Base URL: your full n8n instance API path (e.g. https://your-n8n-instance.com/api/v1) ⚙️ Use this credential in both the Get Workflow and Delete Workflow n8n nodes 📬 In the Telegram node, use this message template: 🗑️ Workflow "{{ $json.name }}" (ID: {{ $json.id }}) was backed up to Google Drive and deleted from n8n. 📅 {{ $now }} 🔒 Important: This workflow backs up the entire workflow data to Google Drive. Please be careful with the permissions of your Google Drive folder and avoid sharing it publicly, as the backups may contain sensitive information. Ensuring proper security and access control is essential to protect your data. 🚀 Activate the workflow and you're ready to safely back up and remove workflows from your n8n instance. An n8n automation workflow template by Arlin Perez.

By moosa

This workflow tracks new Shopify orders in real-time and logs them to a Google Sheet, while also sending a structured order summary to a Discord channel. Perfect for keeping your team and records updated without checking your Shopify admin manually. ✅ Features: Trigger: Listens to orders/create event via the **Shopify Trigger node Authentication: Uses **Shopify Access Token, generated via a custom/private Shopify app Google Sheets Logging**: Automatically appends order details to a sheet with the following columns: Order Number Customer Email Customer Name City Country Order Total Currency Subtotal Tax Financial Status Payment Gateway Order Date Line Item Titles Line Item Prices Order Link Discord Alerts**: Sends a clean and formatted summary to your Discord server Line Item Extraction**: Breaks down item titles and prices into readable format using code Multi-currency Compatible**: Displays currency type dynamically (not hardcoded) 🧩 Nodes Used: Shopify Trigger (Access Token) Code — extract line_item_titles and line_item_prices Google Sheets — Append row Code (JavaScript) — Format Discord message Discord — Send message 📒 Sticky Notes: 🛠️ Use your own Google Sheet link and Discord webhook 🔄 You can duplicate and adapt this for orders/updated or refunds/create events 🔐 No hardcoded API keys — credentials managed via UI 🖼️ Sample Outputs 📄 Google Sheet Entry | Order Number | Customer Email | Customer Name | City | Country | Order Total | Currency | Subtotal | Tax | Financial Status | Payment Gateway | Order Date | Line Item Titles | Line Item Prices | Order Link | |--------------|------------------|----------------|-----------|----------|--------------|----------|----------|--------|-------------------|------------------|------------------------------|----------------------------------------------------------------------------------------------------|----------------------------------|------------| | 1003 | abc123@gmail.com | test name | test city | Pakistan | 2522.77 | PKR | 2174.8 | 347.97 | paid | bogus | 2025-07-31T13:45:35-04:00 | Selling Plans Ski Wax, The Complete Snowboard, The Complete Snowboard, The Collection Snowboard: Liquid | 24.95, 699.95, 699.95, 749.95 | View Order | 💬 Discord Message Preview > Tested with Shopify's "Bogus" gateway — works without real card info in a development store. An n8n automation workflow template by moosa.

By Richard Besier

How This Works This automation automatically scrapes leads from Apollo using the Apify scraper, filters out those who do not have an Email or URL included, scrapes the leads' website content and writes personalised Icebreakers and subject lines based on the website's content. Set Up (Step-by-Step) Connect the API keys from the Apify scraper mentioned in the workflow sticky note. Insert Apollo URL and the amount of leads you want to scrape. Connect your Slack account (if needed) Reach Out To Me Send me an Email if you need further assistance: richard@advetica-systems.com. An n8n automation workflow template by Richard Besier.

By youpath

📋 What this workflow does This automated workflow streamlines the process of responding to leads who submit a Google Form. It instantly sends a personalized confirmation email to the lead and notifies your internal team with the submission details — ensuring no lead goes unnoticed. It’s perfect for freelancers, agencies, small businesses, or any team collecting lead information through Google Forms and looking to reduce response time while staying organized. ⚙️ Workflow Overview Trigger**: A new row is added to a connected Google Sheet via Google Forms Email to lead**: Sends a custom confirmation message using Gmail Email to team**: Notifies internal staff with all the lead’s submitted details The entire process happens instantly and automatically, creating a better user experience and improving lead management. 🛠️ Setup Instructions Connect your Google Form to a Sheet In Google Forms, click the green Sheets icon under “Responses” Create or connect Gmail & Google Sheets credentials in n8n Update node field references if needed Your Google Sheet must include these columns: Timestamp Full Name Email Phone Number (optional) What are you interested in? Additional message or query Edit the Gmail nodes Replace the placeholder email your@email.com with your actual sending address Personalize the subject and body text if desired Add your own notification recipient in the internal email node 🗒️ Notes This workflow uses Spanish field labels — adapt field names if your form is in another language Sticky notes inside the workflow explain where to update text and variables All personal data has been removed from this public version ✅ Tools Used Google Forms Google Sheets Gmail n8n core nodes (no external APIs). An n8n automation workflow template by youpath.

By jun shou

🔧 How It Works **This n8n workflow leverages an agentic AI solution, where multiple AI agents collaborate to process and generate tailored job application assets. ✅ Features Agent-based AI Coordination: Utilizes multiple AI agents working in sequence to analyze the job description and generate results. Outputs: A customized cover letter An optimized resume (CV) A list of interview preparation questions Automated Delivery: The final outputs are created as Google Docs and stored in your connected Google Drive folder. 🧾 Input Requirement Simply provide a LinkedIn job URL as the input. Example: https://www.linkedin.com/jobs/view/4184156975 ⚙️ Setup Instructions To deploy and run this workflow, you'll need to configure the following credentials: Google Cloud Platform (GCP) Enable the Google Drive API Set up OAuth credentials for n8n integration OpenAI API Key Needed for generating the content (cover letter, CV, and questions) BrightData (formerly Luminati) Used to scrape and extract job details from the LinkedIn job link ⚠️ Setup requires moderate technical familiarity with APIs and OAuth. A step-by-step configuration guide is recommended for beginners. An n8n automation workflow template by jun shou.

By Mychel Garzon

Elevate Your Website’s Ranking: Automated Daily SEO Audits Boost your online visibility and stay ahead of the curve with this Automated SEO Audit Workflow Template. This solution streamlines the crucial task of monitoring your website’s health, proactively identifying issues, and ensuring peak performance without the manual grind. It’s your personal, tireless SEO assistant, designed to save you time and provide actionable insights for driving organic traffic and enhancing your search engine optimization (SEO). Benefits & Target Audience Proactive Issue Detection** Catch SEO errors and performance bottlenecks as they emerge before they impact your rankings. Time & Resource Savings** Automate daily checks so your team can focus on strategy, not manual audits. Comprehensive Insights** Receive on-page, technical, performance, accessibility, and security checks in a single, styled HTML report. Ideal for: Website owners, bloggers, digital marketing agencies, SEO specialists, web developers, and e-commerce businesses are committed to maintaining a strong online presence and improving organic search performance. Detailed Workflow Daily Trigger A Schedule Trigger node fires the audit at your chosen time each day. Configuration Use the Set Variables node to define the target URL, the recipient, and the sender's email addresses. Content Fetch An HTTP Request node retrieves your site’s raw HTML. On-Page Analysis The HTML node parses critical elements (titles, meta descriptions, H1/H2 headings, image alt tags). Audit Logic A Code node runs your custom SEO audit script covering on-page, technical, performance (Core Web Vitals), accessibility, and basic security checks—to generate actionable findings. Report Delivery A Gmail node formats those findings into a clean HTML report and emails it to your specified recipients. Required APIs & Customization APIs Needed:** Gmail (or Slack) credentials for report delivery. Easy Customization:** Target URLs & Recipients: Update in “Configure Target & Recipients.” Audit Frequency: Adjust the Schedule Trigger (e.g., hourly, weekly). Report Branding: Customize the HTML/CSS in the Gmail/Slack node. Delivery Channels: Swap Gmail for Slack, Teams, or your preferred notification service. An n8n automation workflow template by Mychel Garzon.

By Oneclick AI Squad

This automated n8n workflow monitors API uptime by periodically checking API availability and sending instant WhatsApp alerts if any service goes down. It retrieves API details from a Google Sheet and includes retry logic for failed requests. Good to Know Checks API status every 15 minutes Integrates with Google Sheets for API list management Implements a retry mechanism with up to 4 attempts Sends WhatsApp alerts for downtime Supports customizable API request configurations How It Works Schedule Trigger** - Triggers every 15 minutes Read API List** - Fetches all API URLs from a Google Sheet Process Each API1** - Loops through each API entry Init Retry Counter** - Initializes retryCount = 0 Test API** - Sends the first request to the API Check Response** - Checks if a valid response was received If No Response** - Branches into retry flow if down Wait 10 Min → Increment Retry → Retry API → Check Retry Response** - Wait and retry API call once If Still No Response** - Verifies if retry also failed If Still No Retry > 4** - Checks if retry limit is reached (≥ 4) Format Down Alert** - Formats the WhatsApp alert with API details Send WhatsApp Alert** - Sends API down alert to the configured number Continue Next API** - Moves to the next API in the list How to Use Import workflow into n8n Configure Google Sheets API for API list access Set up WhatsApp API for alerts Define API details in Google Sheet Test with sample APIs and verify alerts Adjust retry limits or schedule as needed Requirements Access to Google Sheets API WhatsApp API configuration Scheduled trigger setup in n8n Sheet Structure | Sheet Column | Example Data | | -------------------- | ------------------------------------------------------------ | | name | Timeout Test | | method | GET | | url | https://httpbin.org/delay/15 | | headers | {"Content-Type": "application/json"} | | body | {"key": "value"} | | expectedField | status | | expectedValue | success | | expectedStatusCode | 200 | Customizing This Workflow Modify trigger interval Adjust retry limits or wait times Customize WhatsApp alert format Add additional API headers or body data Integrate with other notification services. An n8n automation workflow template by Oneclick AI Squad.